FOR MCP SECURITY
Secure MCP usage for humans, apps, and agents
As the Model Context Protocol becomes foundational to AI agents and clients, new enterprise risks have emerged that existing identity and access controls can't address. Our platform applies real-time tool policies to MCP usage so you can govern what AI is allowed to do — not just who can invoke it.
Discover and inventory MCP clients and servers
Enforce MCP usage policies in real time
Allow access only to approved MCP servers
Apply granular tool policies beyond server access
You can’t govern MCP use you can’t see
MCP adoption is decentralized and largely unmanaged.
What started with developers running local clients is now spreading across the workforce through simple “add integration” prompts. Many of these integrations are MCP servers without the user realizing it.
Security teams often have no visibility into where MCP is running or what tools are being invoked.
Automatically discover and inventory AI clients and MCP servers across the organization, providing a centralized view of:
Who is using MCP
Which clients and servers are in use
How frequently MCP tools are invoked
MCP breaks traditional security models
MCP gives AI agents the ability to invoke tools, execute workflows, and access systems on behalf of users. Traditional security controls weren’t built for autonomous software actions.
Major MCP risks
Uncontrolled tool execution
MCP tools can delete data, modify infrastructure, or trigger workflows
Local MCP blind spots
Traditional security tools can’t see or control locally run MCP servers
Supply chain exposure
Third-party MCP servers and tools introduce new attack vectors and exfiltration risks
“SurePath transformed our approach from blocking to enabling, offering a secure path for GenAI adoption.”
Policy controls built for AI actions
SurePath AI applies real-time policy enforcement directly to MCP traffic. Security teams control which tools AI clients and agents can use and how they’re allowed to act.
Security without slowing the business
Prevent destructive actions before execution
MCP tools can delete data, modify infrastructure, or trigger workflows
Maintain developer autonomy and local workflows
Traditional security tools can’t see or control locally run MCP servers
Extend governance to AI agents not just users
Third-party MCP servers and tools introduce new attack vectors and exfiltration risks
See how to govern MCP in real time
Protect production environments while preserving developer workflows and autonomy.
